Rattle: Installation Troubleshooting We have worked hard to make the installation of Rattle a simple 5 minute task. The majority of issues over the years have been. String toString Returns a string representation of the object. In general, the toString method returns a string that 'textually represents' this object. 6 Character encountered while marshaling or unmarshaling a character or string that is. NullPointerException R java.lang Actually a null reference exception. Programs are written using the Unicode character set. Information about this character set and its associated character encodings may be found at http://www.unicode. Parsing an xml file on Java I get the error: An invalid XML character (Unicode: 0x0) was found in the element content of the document. The xml comes from a webservice. Java Null Character 0x0dDeducer: A GUI for RDeducer comes with facilities for the easy building of full- featured GUI dialogs, which can be accessed by writing Java code, and including it in your package. For simple dialogs, these facilities can also be accessed from R without the necessity of delving into Java. This Chapter will show you how to build, inspect, and manipulate Java objects without leaving the comfort of R. Particular focus will be paid to GUI objects. This is in contrast to R, which is primarily a function oriented language. For example I might have a class called Chair. This class is not an object it's self, but rather contains the recipe for creating a chair. This recipe is called a constructor, and when called creates a Chair object. It can be called many times to create a series of chairs (e. Each one of these chairs is called an 'instance of' the original Chair class. For example, our Chair class might be a subtype of the Furniture class, because all Chairs are Furniture. So when we create a new Chair object, it is also a Furniture object. Methods can only be used with objects of their own class. For example, a Cheetah class might have a method run which would make the cat run, but we wouldn't be able to call that method to make a Chair run. These are called 'static methods' and can be called using the class even if no objects have been created by that class. For example, our Cheetah class might have a method get. Population which would return the number of Cheetahs in the wild (i. This method relates to Cheetahs, but doesn't relate to any specific Cheetah, so it is a static method. R has an object system similar to Java called S4. Though you don't need to know to much about it, we will be using the S4 object system to work with Java classes and objects. JDialog is a class used to make a dialog window, and is a part of the Swing GUI library. This can be done with the J function, which takes as an argument the class location, and returns a reference to that location (an S4 object of class jclass. Name). JDialog is located in the javax. Java package, so we simply need to call. JDialog), and any further arguments are passed to the JDialog constructor. We don't see anything yet, because we have not made the dialog visible. There is a JDialog method called set. Visible which we can use to make the dialog visible. Set visible takes a boolean (true/false) as a parameter. We will go into conversions later on. This all seems sort of magical. How did we know that there was a class called javax. JDialog? Java is a big language, with lots of libraries and packages. If you are looking for something in plain Java, you can start by looking through the Java API Java. Docs. For things related to JGR, r. Java and Deducer, you can look through the nightly generated Java docs. Additionally a JDialog can be created with parameters representing a parent window (Dialog or Frame), a boolean representing whether the dialog is modal (blocking), and/or a String title. It can also take a graphics configuration, but it is rare that you would ever want to do that. So any of the follow commands can make a JDialog. JFrame < - J(. Calling other functions is similar. Our Dialog is pretty small right now. In fact, its size is 0. Lets give it some length and width, as well as a title. Notice that we used 2. L for the argument to set. Size. This is because the L in R indicates that the number is an integer. Otherwise it would be numeric, which would then be converted to a Java double which the method doesn't understand. Rather we gave it JFrames and JDialogs. This is okay because they are subclasses of Frame and Dialog. We can check this using the instanceof operator. Dialog %instanceof% J(. Indeed, it works the other way too. If a java method's signature says that it returns an object of class Frame, but the object is actually a JFrame, it is automatically promoted to a JFrame and can be used as such. In some ways this could be considered an improvement on Java which normally requires you to handle the casting yourself. If an R vector of length 1 needs to be passed as an array, simply wrap it in a . A good place to start if/when you run into trouble is the r. Java Documentation. If that fails and it is an r. Java related problem, try the mailing list. Creating simple dialogs is relatively easy, and Deducer provides an easy way to add them to the menu system. While all of the Swing GUI library is available to you when building your interface, Swing is a very general framework, designed to meet all user interface needs. Dialogs for statistical analysis and data manipulation are a very specific type of GUI, and as such, Deducer provides a number of easy to use Dialog windows and components. In the future, more components and features will become available as the system matures. The Simple. RDialog class will take care of many of the details for you, and can be used without the need to jump into Java. Notice that we used 3. L instead of 3. 00, this is because set. Size is expecting an integer. If we then called dialog@set. Visible(TRUE), we would see. Adding a widget. Now let's add some slider widgets to the dialog. There are many ways to layout components in a window, and each of them performs differently when the window is resized. Simple. RDialog uses Anchor. Layout by default. If we want to specify the vertical position of part of a component, this is measured by the distance from the top of the window. Similarly, horizontal distance is measured from the left, with 1 being on the left edge, and 1. The top of the slider is set to 1 (i. Its right side is set to 5. Its bottom is set to 2. Its left hand side is set to 1 (i. By default these are set to . The second one preserves the absolute distance between its right side and the right side of the window. The third one doesn't get rescaled because its size is determined by its own preferred size (set with the set. Size function). The page can be added to the wiki by creating a link for it on a page in the wiki and then editing it. Currently the help button must point to the wiki, rather than a general web address. That said, it is probably a good thing to have all the documentation in a single location. Pages on the wiki can be edited using the super secret code of 5. Some important ones are. Title(. One of the necessary components to a useful statistical GUI is that the dialogs remember the users selections when he/she reenters the dialog after successful completing it. This is because statistical analysis is an iterative process. It is rare that one selects exactly the correct or most appropriate options in a dialog the first time. When the user open the dialog again to change the analysis slightly, he/she should not have to reenter every single option. Therefore, dialog memory is of primary importance in GUI design. Usually the user moves variables from the selector, to either a Singlet. Variable. List. Widget, or a Variable. List. Widget. Sometimes not all variables are valid selections for an analysis, so there is the option to only show particular types of variables. For example, if you only wished the selector to show factors, you can use. Selector < - new(Variable. Selector. Widget). Selector$set. RFilter(. It must be linked to a selector upon creation. List< - new(Variable. List. Widget,variable. Selector). Single. Variable. Widget. This widget is used to take items from a Variable. Selector. Widget and put them in a list. Only one may be selected at a time. An additional parameter can be passed to indicate the number of columns to use in laying out the boxes. For example the following creates a group of 4 check boxes in two columns. Check. Boxes. Widget,c(. We need to be able to translate GUI selections into runnable R code. To do this we register two functions with the dialog. The check function makes sure that the selections are valid for the particular analysis. If all the options are valid, the check function should return an empty string (i. The run function constructs the R call and executes it. The names of each of items of the list are the titles of the widgets. This takes a string and executes it as if it had been typed into the console. Finally the run function should be registered with the dialog. Run. Function(to. Java(. factor. Analysis. Run. Function)). Adding to the menu system deducer. Menu and deducer. Menu. Item add menu and menu items to the command line menu system. We then need to add items to the GUI menu bars. If we are in the windows Rgui, we use win. Menu. Add and win. Menu. Add. Item. If we are in JGR we use jgr. Menu and jgr. add. Menu. Item. This is done so that the deducer function can handle the graphics device details. If you don't call your dialogs through the deducer function on non- JGR consoles, plotting to graphics devices may not function correctly. As a good coding practice, the dialog creation process should be put into a function, and we shouldn't go through the process of making the dialog until the user calls it. To do this we create a new function (get. Factor. Analysis. Dialog) that returns the dialog if it is already made, otherwise is makes a new one. Besides, to add the dialog to the menu system automatically, we will define the . Load function with the corresponding instructions. Therefore, Deducer should be loaded before the new package. Or preferably, the DESCRIPTION and NAMESPACE files of our package's source should define Deducer as an import. If the user selects an item, presses a button, or moves their mouse, you can make your GUI respond to that event. Instead of adding the various options below the Variable. List, we will add a button. We wish to perform an action when this button is pressed. We can do this by creating an Action. Listener, and adding it to the button. First, let's create the listener. Listen for the button to be pressed. Action. Listener < - J(. The action. Function is a function that takes two parameters, and displays a message to the user with a JOption. Pane. Hello from R, it's nice to see you\n 2. This gives us 2. 3 bits of precision. Constant Value. 1. COMPLEX. Constant Value. COMPLEX. This give us 4 possible fixed point. Constant Value. (0x. COMPLEX. Constant Value. COMPLEX. Constant Value. COMPLEX. Constant Value. COMPLEX. Constant Value. COMPLEX. Constant Value. COMPLEX. This gives us 1. Constant Value. (0x. COMPLEX. Constant Value. COMPLEX. Constant Value. COMPLEX. Constant Value. COMPLEX. Constant Value. COMPLEX. Constant Value. DATA. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. TYPE. Constant Value. Fieldsasset. Cookie. Cookie. Additional information about where the value came from; only. Public constructors. Public methodsapply. Dimension. float apply. Dimension (int unit. Display. Metrics metrics)Converts an unpacked complex data value holding a dimension to its final floating. The two parameters unit and value. TYPE. The given data must be structured as a. TYPE. The given data must be structured as a. TYPE. For example, a dimen type. COMPLEX. Only use for values. TYPE. In general, the. String method returns a string that. The result should. In other words, this method returns a string equal to the. Class(). get. Name() + '@' + Integer. Hex. String(hash. Code()). Returns. Stringa string representation of the object.
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Mahabharata mendeskripsikan Arjuna sebagai teman dekat Kresna, yang disebut dalam kitab Purana sebagai awatara (penjelmaan) Dewa Wisnu. Hubungan antara Arjuna dan Kresna sangat erat, sehingga Arjuna meminta kesediaannya sebagai penasihat sekaligus kusir kereta Arjuna saat perang antara Pandawa dan Korawa berkecamuk (Bharatayuddha). Dialog antara Kresna dan Arjuna sebelum perang Bharatayuddha berlangsung terangkum dalam suatu kitab tersendiri yang disebut Bhagawadgita, yang secara garis besar berisi wejangan suci yang disampaikan oleh Kresna karena Arjuna mengalami keragu- raguan untuk menunaikan kewajibannya sebagai seorang kesatria di medan perang. Dalam bahasa Sanskerta, secara harfiah kata Arjuna berarti . Dilihat dari maknanya, kata Arjuna bisa berarti . Saat Arjuna menjalani masa penyamaran (tercatat dalam kitab Wirataparwa), ia berperan sebagai pelatih tari di keraton Raja Wirata, dan bersedia menjadi kusir kereta Pangeran Utara saat terjadi invasi Kerajaan Kuru. Untuk meyakinkan sang pangeran bahwa ia adalah Arjuna putra Pandu yang sedang menyamar, maka Arjuna membeberkan sepuluh namanya. Beberapa nama lain yang dapat ditemui yaitu sebagai berikut: Anaga (. Pandu dan Kunti memanfaatkan anugerah tersebut untuk memanggil Dewa Yama (Dharmaraja; Yamadipati), Bayu (Maruta), dan Indra (Sakra) yang kemudian memberi mereka tiga putra. Arjuna merupakan putra ketiga, lahir dari Indra, pemimpin para Dewa. Ia lahir di lereng gunung Himawan, di sebuah tempat yang disebut Satsringa pada hari saat bintang Utara Phalguna tampak di zenith. Drona menguji kemampuan memanah murid- muridnya. Ilustrasi dari Mahabharata terbitan Gorakhpur Geeta Press. Arjuna dididik bersama dengan saudara- saudaranya yang lain (para Pandawa dan Korawa) oleh Drona. Kemahirannya dalam ilmu memanah sudah tampak sejak kecil. Pada usia muda ia mendapat gelar Maharathi atau . Dalam suatu ujian, Drona meletakkan burung kayu pada pohon, lalu menyuruh muridnya satu- persatu untuk membidik burung tersebut, kemudian menanyakan apa saja yang sudah mereka lihat. Banyak murid yang menjawab bahwa mereka melihat pohon, cabang, ranting, dan segala sesuatu yang dekat dengan burung tersebut, termasuk burung itu sendiri. Ketika tiba giliran Arjuna untuk membidik, Drona menanyakan apa yang dilihatnya. Arjuna menjawab bahwa ia hanya melihat burung saja, tidak melihat benda yang lainnya. Hal itu membuat Drona kagum dan meyakinkannya bahwa Arjuna sudah pintar. Pada suatu hari, ketika Drona sedang mandi di sungai Gangga, seekor buaya datang mengigitnya. Drona dapat membebaskan dirinya dengan mudah, namun karena ingin menguji keberanian murid- muridnya maka ia berteriak meminta tolong. Di antara murid- muridnya, hanya Arjuna yang datang memberi pertolongan. Dengan panahnya, ia membunuh buaya yang menggigit gurunya. Atas pengabdian Arjuna, Drona memberikan sebuah astra yang bernama Brahmasirsa. Drona juga mengajarkan kepada Arjuna tentang cara memanggil dan menarik astra tersebut. Menurut Mahabharata, Brahmasirsa hanya dapat ditujukan kepada dewa, raksasa, setan jahat, dan makhluk sakti yang berbuat jahat, agar dampaknya tidak berbahaya. Sesungguhnya Duryodana telah mempersiapkan agar rumah tersebut dapat terbakar dengan mudah, karena ia membenci para Pandawa, terutama Bima. Widura, paman para Pandawa dan Korawa yang waspada meminta agar para Pandawa berhati- hati dan mempersiapkan cara untuk menghadapi kemungkinan buruk yang dapat terjadi. Saat para Pandawa menginap, Purocana, pesuruh Duryodana membakar rumah tersebut. Para Pandawa beserta ibunya berhasil lolos melalui terowongan yang telah digali sebelumnya. Mereka melarikan diri ke tengah hutan dan menumpang di rumah penduduk sekitar. Pada suatu ketika, sekelompok brahmana berkumpul di tempat para Pandawa melarikan diri. Mereka membicarakan sebuah sayembara yang akan diadakan di Kerajaan Panchala. Para Pandawa datang ke tempat sayembara dengan menyamar sebagai kaum brahmana. Raja Drupada dari Panchala mengadakan sayembara untuk mendapatkan Dropadi, putrinya. Sebuah ikan kayu diletakkan di atas kubah balairung, dan di bawahnya terdapat kolam yang memantulkan bayangan ikan yang berada di atas. Aturan menyebutkan bahwa siapa pun yang berhasil memanah ikan tersebut dengan hanya melihat pantulannya di kolam, maka ia berhak mendapatkan Dropadi. Berbagai kesatria mencoba melakukannya, namun tidak berhasil. Ketika Karna yang hadir pada saat itu ikut mencoba, ia berhasil memanah ikan tersebut dengan baik. Namun ia ditolak oleh Dropadi dengan alasan Karna lahir di kasta rendah. Arjuna bersama saudaranya yang lain menyamar sebagai Brahmana, turut serta menghadiri sayembara tersebut. Arjuna berhasil memanah ikan tepat sasaran dengan hanya melihat pantulan bayangannya di kolam, dan ia berhak mendapatkan Dropadi. Ketika para Pandawa pulang membawa Dropadi, mereka mengaku telah membawa sedekah. Sesuai dengan apa yang dikatakan oleh Kunti, maka para Pandawa bersepakat untuk membagi Dropadi sebagai istri mereka. Mereka juga berjanji tidak akan mengganggu Dropadi ketika sedang bermesraan di kamar bersama dengan salah satu dari Pandawa. Hukuman dari perbuatan yang mengganggu adalah pembuangan selama satu tahun. Pada suatu hari, ketika Pandawa sedang memerintah kerajaannya di Indraprastha, seorang pendeta masuk ke istana dan melapor bahwa pertapaannya diganggu oleh para raksasa. Arjuna bergegas mengambil senjatanya, namun senjata tersebut disimpan di sebuah kamar tempat Yudistira dan Dropadi sedang menikmati malam mereka. Demi kewajibannya, Arjuna rela masuk kamar mengambil senjata, tanpa memedulikan Yudistira dan Dropadi yang sedang bermesraan di kamar. Atas perbuatan tersebut, Arjuna dihukum untuk menjalani pembuangan selama satu tahun. Arjuna menghabiskan masa pengasingannya dengan menjelajahi penjuru Bharatawarsha atau daratan India Kuno. Ketika sampai di sungai Gangga, Arjuna bertemu dengan Ulupi, putri Naga Korawya dari istana naga atau Nagaloka. Arjuna terpikat dengan kecantikan Ulupi lalu menikah dengannya. Dari hasil perkawinannya, ia dikaruniai seorang putra yang diberi nama Irawan. Setelah mengunjungi sungai- sungai suci yang ada di sana, ia berbelok ke selatan. Ia sampai di sebuah negeri yang bernama Manipura. Raja negeri tersebut bernama Citrasena. Ia memiliki seorang puteri yang sangat cantik bernama Citr. Arjuna jatuh cinta kepada putri tersebut dan hendak menikahinya, namun Citrasena mengajukan suatu syarat bahwa apabila putrinya tersebut melahirkan seorang putra, maka anak putrinya tersebut harus menjadi penerus tahta Manipura oleh karena Citrasena tidak memiliki seorang putra. Arjuna menyetujui syarat tersebut. Dari hasil perkawinannya, Arjuna dan Citr. Oleh karena Arjuna terikat dengan janjinya terdahulu, maka ia meninggalkan Citr. Ia tidak mengajak istrinya pergi ke Hastinapura. Dia sampai di lautan yang mengapit Bharatawarsha di sebelah selatan, setelah itu ia berbelok ke utara. Ia berjalan di sepanjang pantai Bharatawarsha bagian barat. Dalam pengembaraannya, Arjuna sampai di pantai Prabasa (Prabasatirta) yang terletak di dekat Dwaraka, yang kini dikenal sebagai Gujarat. Di sana ia menyamar sebagai seorang pertapa untuk mendekati adik Kresna yang bernama Subadra, tanpa diketahui oleh siapa pun. Atas perhatian dari Baladewa, Arjuna mendapat tempat peristirahatan yang layak di taman Subadra. Meskipun rencana untuk membiarkan dua pemuda tersebut tinggal bersama ditentang oleh Kresna, namun Baladewa meyakinkan bahwa peristiwa buruk tidak akan terjadi. Arjuna tinggal selama beberapa bulan di Dwaraka, dan Subadra telah melayani semua kebutuhannya selama itu. Ketika saat yang tepat tiba, Arjuna menyatakan perasaan cintanya kepada Subadra. Pernyataan itu disambut oleh Subadra. Dengan kereta yang sudah disiapkan oleh Kresna, mereka pergi ke Indraprastha untuk melangsungkan pernikahan. Kresna meyakinkan bahwa Subadra pergi atas kemauannya sendiri, dan Subadra sendiri yang mengemudikan kereta menuju Indraprastha, bukan Arjuna. Kresna juga mengingatkan Baladewa bahwa dulu ia menolak untuk membiarkan kedua pasangan tersebut tinggal bersama, namun usulnya ditentang oleh Baladewa. Setelah Baladewa sadar, ia membuat keputusan untuk menyelenggarakan upacara pernikahan yang mewah bagi Arjuna dan Subadra di Indraprastha. Ia juga mengajak kaum Yadawa untuk turut hadir di pesta pernikahan Arjuna- Subadra. Setelah pesta pernikahan berlangsung, kaum Yadawa tinggal di Indraprastha selama beberapa hari, lalu pulang kembali ke Dwaraka, namun Kresna tidak turut serta. Kisah tersebut diawali dengan acara pengembaraan Arjuna dan Kresna di tepi sungai Yamuna. Di tepi hutan tersebut terdapat hutan lebat yang bernama Kandawa. Di sana mereka bertemu dengan Agni, dewaapi. Agni berkata bahwa hutan Kandawa seharusnya telah musnah dilalap api, namun Indra selalu menurunkan hujannya untuk melindungi temannya yang bernama Taksaka, yang hidup di hutan tersebut. Maka, Agni memohon agar Kresna dan Arjuna bersedia membantunya menghancurkan hutan Kandawa. Kresna dan Arjuna bersedia membantu Agni, namun terlebih dahulu mereka meminta agar Agni menyediakan senjata kuat bagi mereka berdua untuk menghalau gangguan yang akan muncul. Kemudian Agni memanggil Baruna, dewalautan. Baruna memberikan busur suci bernama Gandiwa, kereta perang dengan empat kuda dihias bendera berlambang monyet, serta tabung berisi anak panah dengan jumlah tak terbatas kepada Arjuna. Dengan senjata tersebut, mereka berdua menjaga agar Agni mampu melalap hutan Kandawa sampai habis. 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Microsoft Office 2010 (codenamed Office 14) is a version of the Microsoft Office productivity suite for Microsoft Windows. It is the successor to Microsoft Office. Or if you use a Mac, get Office Home and Business 2016 for Mac for the.Dependent minors – Guardianship protocol. Canada is committed to protecting children from abuse and exploitation. Children who are not in care of a parent and come to Canada as refugees may be particularly vulnerable. The Guardianship Protocol spells out procedures that visa officers and settlement officers must follow in these situations. The best option for most minor refugees who are separated from their families is to reunite them with their immediate family, if possible. In cases where there are no family members in the country they reside in nor in their country of origin, the officer should try to reunite them with immediate family members in Canada. 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Published in. the Journal of End User Computing's. Special issue on Scaling Up End User Development. Volume 1. 0, No 2. The OCR HIPAA Audit program. The Phase 2 HIPAA Audit Program reviews the policies and procedures adopted and employed by covered entities and business associates to meet selected standards and implementation specifications. Sophos End-User License Agreement (EULA) If you use any of our software, read our legally binding agreement between Sophos and all end users of Sophos software products. If you wish to view this information in other. Revised May 2. 00. What We Know About Spreadsheet Errors. Raymond R. Panko. University of Hawai’i. College of Business Administration. Maile Way. Honolulu, HI 9. USAEmail: panko@hawaii. Home Page: http: //panko. Spreadsheet Research (SSR) Website. This paper. http: //panko. Mypapers/whatknow. Abstract. Although spreadsheet programs are used for small . In recent years, we have learned a. In general. errors seem to occur in a few percent of all cells, meaning that for large spreadsheets. These error rates. In programming, we have learned to follow strict development disciplines to. Surveys of spreadsheet developers indicate that spreadsheet. Although prescriptive articles have focused on such disciplines. Introduction. In a special issue on large system development by end users, it may seem odd to see a. Spreadsheets are often seen as small and simple. We will see that neither view is correct. Many spreadsheets are large. In fact. we would guess that the largest portion of large- scale end user applications today involve. In addition, the extensive information that has emerged about. Finally. while spreadsheet development may seem . It assumes that we have a large enough. Yet we argue that spreadsheet research is indeed sufficiently. There is. far more to be done, but we already know enough to speak outside our research field, to. This is. good, because the lessons we have learned may require organizations to begin treating. A Sense of Urgency. As we will see below, there has long been ample evidence. Spreadsheets, even after careful. In. large spreadsheets with thousands of formulas, there will be dozens of. Even significant errors may go undetected because formal. Despite this long- standing evidence, most corporations. Congress passed the Sarbanes- Oxley Act, which. Even. a single instance of a firm having a more- than- remote possibility of a material. This is likely to result in lower stock prices and, in some. Several other countries. As firms began to prepare for Sarbanes- Oxley and a growing. Financial intelligence firm CODA reports that 9. U. S. IDC found that 8. In. 2. 00. 3, the Hacket Group (www. The interviews asked about. Out of 1. 4. technologies discussed, only two were widely used—spreadsheets and basic. Every subject said that their department uses. Morgan. interviewed 3. SOX compliance in. United States. More than 8. European Companies are taking a. Sarbanes- Oxley. Sept 2. TMCnet. com, (http: //www. Sep/1. 07. 45. 07. The question, . In the past. However, to cope with corporate needs. Sarbanes- Oxley and other laws, spreadsheet researchers will have to. Existing testing techniques aimed at finding innocent errors are not. New forms of paranoid software testing will. If spreadsheet controls can reduce financial fraud, this. In. 2. 00. 4, fraud through financial statements represented only 7% of all fraud cases. ACFE survey . Davis (Davis, January 1. With spreadsheet programs, end. Under these. conditions, unless the percentage of incorrect cells is almost zero, there will be a very. Over the years, a number of embarrassing spreadsheet development incidents have been. Panko, 2. 00. 5b). In most cases, either the firm that made the error was forced to. Given the normal. More broadly, a number of consultants, based on practical experience, have said that. Panko, 2. 00. 5b). In a personal communication. Dent (1. 99. 5) described an audit in a mining company that found errors in. Freeman (Freeman, 1. Coopers and Lybrand in England, which found that 9. One. Price- Waterhouse consultant audited four large spreadsheets and found 1. Ditlea. 1. 98. 7). Today, we have moved beyond such anecdotal evidence, into the realm of systematic field. Tables 1 through 3 summarize key data from these studies. Table 1 contains data from 1. Henceforth, all future computations would be wrong. Hicks. 19. 95. 13,8. One omission error would have caused an error. Coopers & Lybrand. More than 1. 50 rows. Off by at least 5%KPMG1. Only significant errors. Lukasic. 19. 98. 22,2. In Model 2, the investment's value was. Quite serious. Butler. Only errors large enough to require additional. Clermont, Hanin, &. Mittermeier. 20. 02. Computed on the basis of non- empty cells. Interview I*2. 00. Approximately 5% had extremely serious. Interview II*2. 00. Approximately 5% had extremely serious. Lawrence and Lee. SSs audited by. Mercer Finance & Risk Consulting in previous year. Among the. ten spreadsheets with non- zero impacts for which error size was. Total since 1. 99. In 2. 00. 3, the author spoke. United Kingdom, where certain spreadsheets must be audited by law. Each. audited about three dozen spreadsheets per year. Both said that they had never. Both also indicated that. Audits were. done by single auditors, so from the research on spreadsheet and software. In. addition, virtually all of the spreadsheets had standard formats required for. The low cell error rate probably. However, error has a strong. Unlike other authors, Lawrence and Lee (2. This explains why the average. In turn, Table 2 contains data from experiments involving over a thousand subjects. Although there is great. Each developer made at least one. Olson & Nilsen (1. Measured. errors as they occurred, even if the subject corrected them. CER only reflects formula cells. Lerch (1. 98. 8)2. Measured. errors as they occurred, even if the subject corrected them. CER only reflects formula cells. All formula cells 9. CER only reflects formula cells. References to cells in the same row 6. CER only reflects formula cells. References to cells in the same column 4. CER only reflects formula cells. References to cells in different rows and columns 1. CER only reflects formula cells. Novice programmers each developed several spreadsheets. Hassinen (1. 98. 8)9. CER only. reflects formula cells. Janvrin & Morrison 1st (2. Task with 5. 0. links between spreadsheets. CER only. reflects some formula cells of high risk- -mostly links between. Differences were nonsignificant. Working alone, no design training 1. Working alone, design training 7% Working in pairs, no design training 7% Working in pairs, design training 7% Janvrin & Morrison 2nd (2. Task with 6. 6. links. CER only. reflects some formula cells of high risk- -mostly links between. Differences were nonsignificant. No training in design. Training in design. Kreie, et al. MBA students. SS development experience. Panko & Sprague (1. Wall Task. MBA students. SS development experience. Finally, Table 3 looks at code inspection experiments. In. these experiments, subjects examined spreadsheets seeded with errors. The. research shows that people are not only prone to make errors. They are only. moderately good at correcting these errors. In fact, they are not only possible. They are entirely consistent with. The Human Error Website (Panko. Broadly speaking, when humans do simple. When they do more complex logical activities, such as writing programs, the error. These are not hard and fast numbers, because how finely one. However, the logical tasks. The most complete set of data on error rates comes from programming, which is at least. In programming, many firms practice code inspection. In code inspection, teams of inspectors first inspect the module. Fagan, 1. 97. 6). This has resulted in the publication of data from literally thousands of code. Panko, 2. 00. 5a). The data from these studies shows strong convergence. Code. inspection usually finds errors in about 5% of all program statements after the developer. Panko, 2. 00. 5a). While there is some. Note that we have been talking about uncorrected errors. Humans make many errors when. Correction rates are high for mechanical errors. Interestingly, data from a. Rabbit and Vyas (Rabbit & Vyas, 1. There is even an emerging theory for why we make so many errors. Reason (Reason, 1. Baars, 1. 99. 2). In general, the emerging. Reason, 1. 99. 0) and can. Flower & Hayes, 1. However, the same. Overall, Alexander Pope wrote that . While this is a vivid statistic, it does not tell us how many. In addition, we have long known that in tasks that contain many subtasks, error rates. In spreadsheeting, for instance, many. Equation 1 is adapted from one of their simpler formulas. Here, E. is the bottom line error rate, e is the task error rate (assumed to be the same for all. Equation 1: E = 1 - (1- e)^n. In programming, this link between individual error rates and cascade error rates is. More specifically, programmers. KLOC). Although it is important to make adjustments for complexity, size, and other. Ferdinand, 1. 99. KLOC is a good rough measure of programming errors. In spreadsheets, a similar metric is the cell error rate (CER). This is the number of. Equivalently, this is the. Table 1 shows that just as faults/KLOC. Panko, 2. 00. 5a), the CERs seen in spreadsheet studies. The relatively few divergent numbers that appear within a life. Errors by Life Cycle Stage. In programming, error rates vary by life cycle stage. Programmers make many errors when. Module code inspection and. Relatively few errors should survive into the final. Errors During Cell Entry. Only two studies have looked at errors during cell entry (Lerch, 1. Olson &. Nilsen, 1. One more study. looked at errors when the subjects were typing label cells (Floyd & Pyun, 1. These. data, while limited, confirm that people make many errors while they work and. In the. methodologies used, subjects were interrupted by the experimenter to correct errors as. One interesting pattern from the Lerch (1. Errors at the End of the Development Stage. Most studies in Table 2 looked at errors at the end of the development stage, when. Apart from research. Janvrin & Morrison, 1. One study (Panko & Sprague. MBA students with little. MBA students with more than 2. Their CERs were very similar. Even when a task. Wall task) was. selected to be very simple and almost completely free of domain knowledge requirements. Panko & Sprague, 1. More of What You Love. Meebo was acquired by Google on June 4, 2. 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